Staff Data Scientist
About the role
For our client, we are seeking a Staff Data Scientist to join the team of a leader in the Real Estate & Construction space.
This role will focus on improving conversational and booking experiences by turning raw customer interactions into actionable data science insights. The Staff Data Scientist will build measurement frameworks, develop predictive models, and help bring advanced machine learning solutions into production. This position will partner closely with cross-functional teams to drive better agent quality, stronger decision-making, and scalable operational outcomes.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $210,000 – $280,000 annually
Responsibilities
Lead improvements to agent conversation and booking processes
Build measurable evaluation systems for agent quality
Analyze real conversations to identify success and failure points
Develop and deploy predictive models into production
Collaborate with cross-functional teams throughout the development process
Explore new techniques and innovative approaches to solve complex problems
Guide and mentor junior team members in advanced data science techniques
Qualifications
Master’s or Ph.D. in a quantitative field, or equivalent experience
6+ years of experience in data science and machine learning, ideally in tech and marketplace environments
Experience with non-deterministic systems such as LLMs or conversational agents
Strong statistical thinking and experiment design skills
Comfortable working with raw data, including real customer interactions
Proven track record of deploying impactful work in production environments
Proficiency in SQL and Python, with experience in cloud ML solutions
Benefits
Competitive year-end performance bonus and equity package
Comprehensive medical, dental, and vision benefits
Flexible vacation policy to support work-life balance
Pet discount plans and a 401(k) retirement plan with company match
Opportunity to work with motivated teammates on unique challenges
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Lead improvements to agent conversation and booking processes
- Build measurable evaluation systems for agent quality
- Analyze real conversations to identify success and failure points
- Develop and deploy predictive models into production
- Collaborate with cross-functional teams throughout the development process
- Explore new techniques and innovative approaches to solve complex problems
- Guide and mentor junior team members in advanced data science techniques
Qualifications
- Master’s or Ph.D. in a quantitative field, or equivalent experience
- 6+ years of experience in data science and machine learning, ideally in tech and marketplace environments
- Experience with non-deterministic systems such as LLMs or conversational agents
- Strong statistical thinking and experiment design skills
- Comfortable working with raw data, including real customer interactions
- Proven track record of deploying impactful work in production environments
- Proficiency in SQL and Python, with experience in cloud ML solutions
Benefits
- Competitive year-end performance bonus and equity package
- Comprehensive medical, dental, and vision benefits
- Flexible vacation policy to support work-life balance
- Pet discount plans and a 401(k) retirement plan with company match
- Opportunity to work with motivated teammates on unique challenges
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.